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Edge AI Engineer(m/w/x)
Optimizing xLSTM AI models for edge runtimes on diverse hardware, including CUDA kernel development for industrial applications. Expert C/C++ and strong Python proficiency required, plus PyTorch and model optimization experience. Focus on next-generation xLSTM models for industrial applications.
Requirements
- Strong proficiency in Python
- Expert-level knowledge of C/C++
- Familiarity with Rust or C
- In-depth understanding of model optimizations
- Hands-on experience with PyTorch
- Experience with ONNX Runtime
- Experience with embedded platforms
- Proficient knowledge of Embedded Linux
- Exceptional problem-solving skills
- Ability to work independently
Tasks
- Deploy and scale AI models across diverse hardware fleets
- Optimize models for edge runtimes using quantization and pruning
- Develop robust architectures for real-time data processing
- Optimize CUDA kernels specifically for xLSTM architectures
- Manage hardware resources for ultra-low latency inference
- Profile and debug performance bottlenecks across the stack
- Collaborate with researchers to build scalable AI architectures
- Prioritize data privacy and system integrity at the edge
- Manage complex data flows and end-to-end security mechanisms
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
Benefits
Competitive Pay
- Market-aligned salary package
Other Benefits
- Individual benefits
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Edge AI Engineer(m/w/x)
Optimizing xLSTM AI models for edge runtimes on diverse hardware, including CUDA kernel development for industrial applications. Expert C/C++ and strong Python proficiency required, plus PyTorch and model optimization experience. Focus on next-generation xLSTM models for industrial applications.
Requirements
- Strong proficiency in Python
- Expert-level knowledge of C/C++
- Familiarity with Rust or C
- In-depth understanding of model optimizations
- Hands-on experience with PyTorch
- Experience with ONNX Runtime
- Experience with embedded platforms
- Proficient knowledge of Embedded Linux
- Exceptional problem-solving skills
- Ability to work independently
Tasks
- Deploy and scale AI models across diverse hardware fleets
- Optimize models for edge runtimes using quantization and pruning
- Develop robust architectures for real-time data processing
- Optimize CUDA kernels specifically for xLSTM architectures
- Manage hardware resources for ultra-low latency inference
- Profile and debug performance bottlenecks across the stack
- Collaborate with researchers to build scalable AI architectures
- Prioritize data privacy and system integrity at the edge
- Manage complex data flows and end-to-end security mechanisms
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
Benefits
Competitive Pay
- Market-aligned salary package
Other Benefits
- Individual benefits
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NXAI
Industry
IT
Description
The company is an Austrian AI research company focused on next-generation xLSTM models and their industrial applications.
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